# create nodes by instantiation
vaedecode_8 = VAEDecode()
previewimage_33 = PreviewImage()
vaedecode_31 = VAEDecode()
saveimage_32 = SaveImage(filename_prefix="""ComfyUI""")
cliptextencode_18 = CLIPTextEncode(text="""a photo of a Caribbean beach  high resolution, high quality, detailed, 4k""")
conditioningcombine_26 = ConditioningCombine()
checkpointloadersimple_4 = CheckpointLoaderSimple(ckpt_name="""majicmixRealistic_v7.safetensors""")
emptylatentimage_5 = EmptyLatentImage(width=768, height=512, batch_size=1)
cliptextencode_7 = CLIPTextEncode(text="""blurry, illustration, distorted, cropped""")
ksampler_3 = KSampler(seed=381979438476462, control_after_generate="""randomize""", steps=18, cfg=6, sampler_name="""ddpm""", scheduler="""karras""", denoise=1)
vaeloader_11 = VAELoader(vae_name="""vae-ft-mse-840000-ema-pruned.safetensors""")
ksampler_30 = KSampler(seed=613509121902569, control_after_generate="""randomize""", steps=15, cfg=8, sampler_name="""dpmpp_2m""", scheduler="""karras""", denoise=0.35000000000000003)
conditioningsetarea_37 = ConditioningSetArea(width=512, height=512, x=0, y=0, strength=1)
conditioningsetarea_25 = ConditioningSetArea(width=384, height=512, x=384, y=0, strength=1)
cliptextencode_17 = CLIPTextEncode(text="""Godzilla raising from the water, near a Caribbean beach  high resolution, high quality, detailed, 4k""")

# link nodes by invocation
model_4, clip_4, vae_4 = checkpointloadersimple_4()
conditioning_7 = cliptextencode_7(clip=clip_4)
vae_11 = vaeloader_11()
conditioning_17 = cliptextencode_17(clip=clip_4)
conditioning_18 = cliptextencode_18(clip=clip_4)
latent_5 = emptylatentimage_5()
conditioning_37 = conditioningsetarea_37(conditioning=conditioning_18)
conditioning_25 = conditioningsetarea_25(conditioning=conditioning_17)
conditioning_26 = conditioningcombine_26(conditioning_1=conditioning_25, conditioning_2=conditioning_37)
latent_3 = ksampler_3(model=model_4, positive=conditioning_26, negative=conditioning_7, latent_image=latent_5)
image_8 = vaedecode_8(samples=latent_3, vae=vae_11)
latent_30 = ksampler_30(model=model_4, positive=conditioning_17, negative=conditioning_7, latent_image=latent_3)
result_33 = previewimage_33(images=image_8)
image_31 = vaedecode_31(samples=latent_30, vae=vae_11)
result_32 = saveimage_32(images=image_31)
